摘要
雷达信号的分选是电子对抗的重要环节,分选结果直接影响后续目标识别的结果,为了更好的在复杂环境中实现信号的正确分选,提出了基于数据场层次的雷达信号分选识别算法。首先,引入数据场理论,将雷达数据场参数进行调理。之后,计算雷达数据场的势函数,采用数据场层次的聚类算法,得到联合特征向量。最后,利用支持向量机分类器对信号进行分类,从而实现雷达信号的识别。采用实验仿真的方法,验证了本方法的可靠性。
Radar signal sorting is an important part of electronic countermeasures,the sorting results directly affect the results of subsequent target recognition.In order to achieve the correct signal sorting in complex environment,the radar signal sorting and recognition algorithm based on data field level is proposed.Firstly,the data field theory is introduced to adjust the radar data field parameters.Then,the potential function of radar data field is calculated,and the joint eigenvector is obtained through the clustering algorithm at data field level.Finally,the support vector machine classifier is used to classify the signals,so as to realize the recognition of radar signals.The reliability of this method is verified by experiment and simulation.
作者
王旭
王鑫
WANG Xu;WANG Xin(No.724 Research Institute of CSIC,Nanjing 211153,China)
出处
《舰船电子对抗》
2020年第5期60-63,67,共5页
Shipboard Electronic Countermeasure
关键词
分选模型
信号分选
特征提取
目标识别
数据场
sorting model
signal sorting
feature extraction
target recognition
data field
